Evidence map›Paper›PMID 29983671›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2018

A review of metabolism-associated biomarkers in lung cancer diagnosis and treatment.

Sanaya Bamji-Stocke, Victor van Berkel, Donald M Miller, Hermann B Frieboes

Open access · greenAbstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 99 citations in OpenAlex.

  1. In Vitro Cytotoxic Activity ofMolecules (Basel, Switzerland) · 2026
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  20. An epidemiological introduction to human metabolomic investigations.Trends in endocrinology and metabolism: TEM · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Sanaya Bamji-StockeDepartment of Bioengineering, University of Louisville, Lutz Hall 419, Louisville, KY, 40208, USA.
Victor van BerkelDepartment of Cardiovascular and Thoracic Surgery, University of Louisville, Louisville, KY, USA.
Donald M MillerJames Graham Brown Cancer Center, University of Louisville, Louisville, KY, USA.
Hermann B FrieboesDepartment of Bioengineering, University of Louisville, Lutz Hall 419, Louisville, KY, 40208, USA. hbfrie01@louisville.edu.ORCID http://orcid.org/0000-0001-5959-4286
University of Louisville · US

Funding

Integrated framework to predict chemotherapy response post lung tumor resectionR15CA203605 · NCI · UNIVERSITY OF LOUISVILLE · PI FRIEBOES, HERMANN · 2016 to 2016
$462k
NCI NIH HHS R15 CA203605
6 · The paper itself

Abstract

introductionLung cancer continues to be the leading cause of cancer-related mortality worldwide. Early detection has proven essential to extend survival. Genomic and proteomic advances have provided impetus to the effort dedicated to detect and diagnose the disease at an earlier stage. Recently, the study of metabolites associated with tumor formation and progression has inaugurated the era of cancer metabolomics to aid in this effort.

objectivesThis review summarizes recent work regarding novel metabolites with the potential to serve as biomarkers for early lung tumor detection, evaluation of disease progression, and prediction of patient outcomes.

methodWe compare the metabolite profiling of cancer patients with that of healthy individuals, and the metabolites identified in tissue and biofluid samples and their usefulness as lung cancer biomarkers. We discuss metabolite alterations in tumor versus paired non-tumor lung tissues, as well as metabolite alterations in different stages of lung cancers and their usefulness as indicators of disease progression and overall survival. We evaluate metabolite dysregulation in different types of lung cancers, and those associated with lung cancer versus other lung diseases. We also examine metabolite differences between lung cancer patients and smokers/risk-factor individuals.

resultAlthough an extensive list of metabolites has been evaluated to distinguish between these cases, refinement of methods is further required for adequate patient diagnosis.

conclusionWe conclude that with technological advancement, metabolomics may be able to replace more invasive and costly diagnostic procedures while also providing the means to more effectively tailor treatment to patient-specific tumors.

Indexed as

cancer diagnosisCancer metabolomicscancer treatmentlung cancermetabolism biomarkers

Identifiers

PMID29983671
PMCPMC6033515
OpenAlexW2806924327

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.